Breakthrough in Field Robotics: Long-Range TCSPC Lidar Imaging on a Moving Ground Vehicle
Researchers from the Swedish Defence Research Agency have made a significant breakthrough in field robotics, achieving high-resolution 3D imaging at kilometer range using time-correlated single-photon counting (TCSPC) lidar. The study, published in the Journal of Field Robotics, demonstrates the ability to create high-fidelity point clouds from a moving ground vehicle, a first of its kind.
Key Takeaways:
- The research utilizes simultaneous localization and mapping (SLAM) to correct for positioning errors, allowing for the creation of high-fidelity point clouds using long-range TCSPC lidar imaging on a moving ground vehicle.
- The proposed method is able to generate a high-fidelity point cloud of a wooded target area from a distance of roughly 800 m while measuring from a moving vehicle.
- The study highlights the importance of accurate sensor pose knowledge in achieving high-fidelity point clouds, particularly in moving platforms.
- The research has been peer-reviewed and published in the Journal of Field Robotics.
- Financial supporters for this research include the Swedish Armed Forces RD program, Swedish Defence Materiel Administration, and Strategic research center SecurityLink.
- The study's authors, including Hannes Ovren, Max Holmberg, and Markus Henriksson, are from the Swedish Defence Research Agency.
- The research has significant implications for field robotics applications, such as surveillance, mapping, and navigation in challenging environments.
Statistics:
- The study demonstrates the ability to achieve high-resolution 3D imaging at kilometer range using TCSPC lidar.
- The proposed method is able to generate high-fidelity point clouds from a moving ground vehicle at a distance of roughly 800 m.
- The research highlights the importance of accurate sensor pose knowledge, which is hard to achieve on moving platforms.
Sources:
- NewsRx. Data on Field Robotics Reported by Researchers at Swedish Defence Research Agency (Long-range Time-correlated Single-photon Counting Lidar 3d-reconstruction From a Moving Ground Vehicle). Robotics & Machine Learning. October 27, 2025; p 34.
- Journal of Field Robotics. Long-range Time-correlated Single-photon Counting Lidar 3d-reconstruction From a Moving Ground Vehicle. 2025.
- Wiley. Journal of Field Robotics. 111 River St, Hoboken 07030-5774, NJ, USA. (www.wiley.com/)